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Specialist, Operations Project Engineer, NPI

  • ON, Canada
  • Waterdown, ON, L9H 0C5, Canada

In the province of Ontario, Canada, the pay range for this position will be $92,000 to $120,000

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Job details

Pay
In the province of Ontario, Canada, the pay range for this position will be $92,000 to $120,000
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Posting language
English
Posted

Original job description

Specialist, Operations Project Engineer, NPI 

Reference #46441

Waterdown, Ontario

Primary Responsibilities

  • Responsible for successful product launch by project managing the Operations activities cross a multi-disciplinary team consisting of Manufacturing Engineers, Planners, Buyers, Production Staff, Quality and EH&S - providing leadership and technical/project guidance for IRAD funded, customer funded NRE and or non-standard product configurations
  • Lead NPI projects, ensuring timely execution of deliverables
  • Develop and maintain project plans, including schedules, budgets, and resource allocation
  • Monitor and report on project progress, risks, and issues
  • Collaborate with design, manufacturing, quality, and supply chain teams to ensure manufacturability and scalability of new products
  • Facilitate operational readiness reviews and assessments for low rate and full rate production
  • Serve as a liaison between program management, engineering and operations teams to address technical challenges, understanding of contractual requirements and communicate project risks
  • Prepare design stage gate review package highlighting operations development progress, risk profile and CapEx
  • Responsible for presenting to various levels of cross-functional leadership in design reviews and various business meetings
  • Responsible for providing project estimations, ETCs and adherence for Earn Value Management reporting in JIRA
  • Responsible for defining, project managing and tracking adherence to product targets (hours per unit, material/labour costs, lead time, yield) by organizing, leading and or facilitating DFx toolsets
  • Participate in the bid and proposal process by providing operations assessment, risks and CapEx requirements
  • Lead/Participate in project scrum(s), daily production cell team meeting(s), etc.
  • Understanding cause and effect of changes affecting program schedule, quality and cost
  • Drive continuous improvement initiatives to enhance efficiency and product quality
  • Coach junior team members on project management/manufacturing best practices, methodologies and lessons learned
  • Compliance with the companies Quality Management System and AS9100
  • Ability to effective manage multiple projects simultaneously
  • Demonstrate through project leadership behaviours of integrity, respect and excellence
  • Travel to Don Mills location, when required

Desired Skills and Knowledge

  • Excellent working knowledge of Microsoft Office including MS Project
  • Strong technical communication skills, both written and verbal
  • Excellent organizational and planning/project management skills
  • Knowledge of MRP system(s)
  • Knowledge/experience of Confluence/JIRA
  • Knowledge of operations and manufacturing environments
  • Ability to lead the closure of technical issues
  • Dynamic, resourceful and takes initiative (sense of urgency, innovative, problem solver)
  • Ability to challenge the status quo and develop innovative solutions to achieve operational efficiencies
  • Data driven decision making approach
  • Excellent functional skills of Project Management tools
  • Experience presenting to executive and or senior leadership
  • Must have a well-rounded project management background with experience in a high tech environment
  • Strong analytical and critical thinking skills
  • Attention to detail
  • Strong knowledge of current and advanced Manufacturing processes and technologies
  • Strong interpersonal skills to engage with diverse stakeholders and work effectively in cross-functional teams
  • PMP Certification is an asset
  • P.Eng license is an asset
  • Lean Greenbelt or Six Sigma certified is an asset

Education and Experiences

  • Requires proficient knowledge of job area.
  • May have practical knowledge of project management.
  • Bachelor’s Degree and minimum 4 years of prior relevant experience.
  • Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.

*This posting is for a current vacancy. In the province of Ontario, Canada, the pay range for this position will be $92,000 to $120,000

More about this job

Responsibilities

The Specialist, Operations Project Engineer leads NPI projects by managing cross-functional teams and ensuring product manufacturability and scalability. They are responsible for project planning, budget management, and facilitating operational readiness for production.

Requirements

Candidates must have a Bachelor's degree with at least 4 years of relevant experience or equivalent professional background. Strong knowledge of project management tools, manufacturing processes, and technical leadership skills are required.

Skills

  • Project management
  • Manufacturing engineering
  • NPI
  • MS Project
  • JIRA
  • Confluence
  • Earned Value Management
  • DFx
  • Supply chain management
  • Quality management
  • Technical communication
  • Analytical thinking
  • Leadership
  • Continuous improvement
  • AS9100
  • MRP systems

Visa sponsorship

Not detected in the job text

Categories

  • Engineering
  • Manufacturing
  • Management & Leadership
  • Logistics

Keywords

  • Operations Project Engineer
  • NPI
  • Manufacturing
  • Project Management
  • MS Project
  • JIRA
  • Confluence
  • Earned Value Management
  • DFx
  • AS9100
  • Quality Management System
  • Supply Chain
  • CapEx
  • Lean Greenbelt
  • Six Sigma
  • PMP
  • P.Eng
  • MRP
  • Product Launch
  • Technical Leadership
  • Continuous Improvement
  • Risk Management
  • Resource Allocation
  • Cross-functional Teams
  • Operational Readiness
  • Design Stage Gate
  • Bid and Proposal
  • Production Cell
  • High Tech Environment
  • Data Driven Decision Making

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